Evidence map›Paper›PMID 40995354›Full record

ArticleAmerican journal of neurodegenerative disease2025

Early fetal sex determination: the predictive value of anogenital distance and fetal heart rate in first-trimester ultrasound.

Somayeh Shirazinejad, Mehrangiz Dadkhah, Elahe Zarean

Abstract read
In one paragraph

Article in American journal of neurodegenerative disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Somayeh ShirazinejadDepartment of Radiology, School of Medicine, Isfahan University of Medical Sciences Isfahan, Iran.
Mehrangiz DadkhahDepartment of Radiology, Isfahan University of Medical Sciences Isfahan, Iran.
Elahe ZareanDepartment of Obstetrics and Gynecology, Isfahan University of Medical Sciences Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetermining fetal sex during the early stages can help identify potential x-linked disorders and predict pregnancy complications and outcomes related to fetal sex. Few studies have evaluated the use of anogenital distance (AGD) and fetal heart rate (FHR) as sonographic markers for predicting fetal sex in the first trimester. Therefore, this study aimed to predict fetal sex by measuring AGD and FHR using ultrasound in the first trimester.

methodsThis cross-sectional study was conducted at Shahid Beheshti Hospital, Isfahan City, in 2022-2023. Ultrasound scans of 143 singleton pregnancies between 11 and 13 plus 6 gestational weeks and their fetal sex at birth were collected. The exact age of pregnancy was determined by measuring crown-rump length (CRL). The diagnostic value of AGD and FHR in predicting fetal sex was evaluated using receiver operating characteristic (ROC) curve analysis, and indicators such as sensitivity, specificity, positive and negative predictive value, and the area under the curve (AUC) were reported.

resultsA total of 143 pregnant women with the mean age of 31.08 ± 5.26 years were entered to our study. The mean CRL and FHR in male and female fetuses were not significantly associated with fetal sex (P > 0.001). However, AGD was significantly higher in male fetuses than in female fetuses (P < 0.001). Moreover, we found that AGD at the cut-off point of 4.2 mm had a significant diagnostic value in predicting male sex (AUC = 0.792; P < 0.001).

conclusionOur study demonstrated that AGD measurement, unlike FHR and CRL, could be a valuable procedure for predicting fetal sex.

Indexed as

anogenital distancefetal heart rateFetusgender

Identifiers

PMID40995354
PMCPMC12455036

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.